JS
Member Since 2022
Jacquelyn Shelton
Postdoctoral Researcher, Hong Kong Polytechnic University
Professional Experience
Hong Kong Polytechnic University
Postdoctoral Researcher
2019 - Present
Education
Technical University of Berlin
Doctorate
2018
Eberhard Karls University Tübingen
Masters
2010
AGU Abstracts
Generating new realizations of large-scale climate ensembles with conditional variational autoencoders
ADVANCES IN DATA ASSIMILATION, DATA FUSION, MACHINE LEARNING, PREDICTABILITY, AND UNCERTAINTY QUANTIFICATION IN THE GEOSCIENCES III POSTER
nonlinear geophysics | 09 december 2024
Jacquelyn Shelton, PRZEMYSLAW POLEWSKI, Alexander ...
Large-scale Earth system models are crucial tools for studying global climate change. However, due to extremely high computational costs and processin...
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Decomposing Antarctic Sub-shelf Melt Variability using Generalized Clustering with Kernel Embeddings
MACHINE LEARNING AND THE CRYOSPHERE: DATA AND MODELING IV POSTER
cryosphere | 15 december 2023
Jacquelyn Shelton, Alexander Robel, Matthew J. Hof...
Ice loss from the Antarctic Ice Sheet is a dominant contributor to global sea level rise due to the recent warming of the ocean. To assess the uncerta...
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Generating Antarctic Sub-shelf Melt Using Recurrent Neural Network-based Generative Adversarial Networks on Spatiotemporal Pixel Clusters
A DATA-DRIVEN CRYOSPHERE: INSIGHTS FROM MACHINE LEARNING AND OTHER STATISTICAL METHODS II POSTER
cryosphere | 16 december 2022
Jacquelyn Shelton, Alexander Robel, Matthew J. Hof...
Ice loss from the Antarctic Ice Sheet is a dominant contributor to global sea level rise due to the recent warming of the ocean. However, many critica...
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